European Lighthouse of AI for Sustainability
ELIAS is a consortium of 34 top European institutions from 17 countries. The members have been carefully selected to guarantee both an excellent scientific level as well as a broad and complementary expertise, which is essential to address our ambitious goals. The scientific excellence of the consortium is guaranteed by the leading position of the members in their respective fields, as measured by their international visibility and impact. The consortium is well- balanced in terms of country representation, with members from all over Europe.
At ELIAS, our mission is multi-faceted. We are committed to advancing fundamental research in AI to answer critical questions about how it can reduce computational costs, model the societal impacts of policy decisions, and affect individuals. Our approach entails a deep integration of academic research with industry-driven applications, forging a synergy that propels the field forward.
Our foundation is built upon the highly successful European Laboratory for Learning and Intelligent Systems (ELLIS), which has earned international recognition. In ELIAS, we aim to refine and expand upon ELLIS’ excellence criteria while taking actionable steps to support AI researchers and emerging talents at all stages of their careers.
Moreover, ELIAS is pioneering the Science Entrepreneurship track, designed to attract and empower individuals at the nexus of scientific innovation and business acumen. Our goal is to cultivate original AI solutions that contribute to a sustainable future for our planet, foster social cohesion, and uphold individual rights.
Our ultimate objective is to position Europe as a global leader in AI research, where environmental impact, societal relevance, and individual well-being are core considerations throughout development. We will gauge our success by key indicators, including the growth of cross-institutional and cross-disciplinary collaborations, industry-academic partnerships, impactful publications, patents, and the deployment of transformative technologies.
Publications
1 | Barsellotti, Luca; Amoroso, Roberto; Cornia, Marcella; Baraldi, Lorenzo; Cucchiara, Rita "Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation" Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, 17th-21st June, 2024 Conference |